Implementation of blanket provider-initiated testing and counselling: Predictors of HIV seropositivity among infants, children and adolescents in Cameroon
Bibliographic record
Abstract
Objectives: The number needed to test (NNT) to identify a child infected with HIV remains high in the context of the implementation of the blanket provider-initiated testing and counselling (bPITC) strategy. This study assessed the predictors of HIV seropositivity among outpatient children/adolescents (6 weeks-19 years) in Cameroon. This information is needed to improve the yield of bPITC and reduce the current gap in pediatric and adolescent ART coverage in this country and beyond. Study design: Cross-sectional study conducted in 3 hospitals in Cameroon. Methods: Through biological parents and guardians we systematically invited children and adolescents visiting the outpatient departments for any reason to test for HIV (bPITC) in a 6-month period. Children and adolescents were tested for HIV following the national guidelines and the predictors of HIV seropositivity were assessed using multivariate logistic regression at 5% significant level. Results: A total of 2729 eligible children/adolescents were enrolled. Among these, 90.3% (2465/2729) were tested for HIV. Out of these, 1.6% (40/2465) tested HIV-positive, corresponding to a NNT of 62. In multivariate analysis, HIV seropositivity was 2.5, 3.3, and 5 times more likely to be reported among children/adolescents of the female sex [aOR = 0.4 (0.2-0.8), p = 0.008]; whose fathers had no formal school education [aOR = 0.3 (0.1-0.6), p = 0.004] and those whose mothers had died [aOR = 0.2 (0.0-0.9), p = 0.041], respectively. Conclusions: Focusing HIV testing among female children/adolescents, whose fathers had no education level and whose mothers had died could reduce the NNT, improve the yield of bPITC and increase the pediatric and adolescent ART coverage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".